Done Pandas10

[sakshiasati17]

No description provided.

[super30admin]

The student's solution demonstrates a good understanding of pandas operations and grouping functionalities. Here's a detailed evaluation of each file:

1. ActorsAndDirectorsWhoCooperatedAtLeastThreeTimes.py:

   • Correctness: The solution correctly groups by actor_id and director_id, counts their collaborations, and filters for those with at least 3 collaborations.
   • Time Complexity: O(n) for grouping and counting, where n is the number of rows in the DataFrame.
   • Space Complexity: O(m) where m is the number of unique actor-director pairs.
   • Code Quality: The code is clean and concise. The use of reset_index() is appropriate.
   • Efficiency: No major optimizations needed.

2. DailyLeadsAndPartners.py:

   • Correctness: The solution correctly groups by date and make_name, then calculates unique leads and partners using nunique().
   • Time Complexity: O(n) for grouping and aggregation.
   • Space Complexity: O(m) where m is the number of unique date_id and make_name combinations.
   • Code Quality: Well-structured with clear column naming in the aggregation.
   • Efficiency: The solution is already efficient.

3. GroupSoldProductsByTheDate.py:

   • Correctness: Correctly groups by sell_date, counts unique products, and creates a sorted comma-separated list of products.
   • Time Complexity: O(n + m log m) where n is the number of rows and m is the number of unique products per date (due to sorting).
   • Space Complexity: O(m) where m is the number of unique sell_date values.
   • Code Quality: Good, but could be improved by using a named function instead of lambda for better readability.
   • Efficiency: The sorting operation adds some overhead, but it's necessary for the output format.

General Strengths:

• Consistent and clean pandas usage across all solutions
• Proper use of groupby and aggregation functions
• Good variable naming
• Appropriate use of reset_index()

Areas for Improvement:

• In GroupSoldProductsByTheDate.py, consider defining a named function for the products aggregation to improve readability.
• Adding docstrings to explain the purpose of each function would be beneficial.
• The solutions could include comments explaining the logic, especially for more complex operations.